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machine learning engineer for menu personalization
Veröffentlicht am
- Arbeitsort
- 10115 Berlin, Berlin, Deutschland
- Gehaltsschätzung
- 70.000–95.000 € brutto/Jahr · KI-Schätzung von Salary Quick anhand von Jobtitel und Ort (Stand 2026-09-13). Arbeitszeit und individuelle Konditionen können den Betrag verändern. Keine Gehaltszusage.
Stellenbeschreibung
Описание:
HelloFresh is a global food solutions group and the world's leading meal kit company, offering high-quality food and recipes for different meal occasions across 18 countries and three continents.
Задачи:
- Set the technical direction for the ML systems behind menu personalization, owning the end-to-end stack of feature pipelines, training workflows, model serving, experimentation tooling, and infrastructure;
- Take research and experiments to reliable production systems that meet latency, scalability, and observability requirements;
- Shape the personalization roadmap with Product and Engineering leadership, using data and user evidence;
- Operate and improve production systems through instrumentation and continuous learning;
- Raise the technical bar through architecture reviews, mentorship, and strong production ML practices;
- Shape long-term architecture and make platform decisions with multi-year impact;
- Drive engineering excellence beyond Menu Personalization by setting standards adopted by other ML and data teams;
- Sync with peers across HelloFresh on best practices and contribute to company-wide engineering initiatives advancing ML and data engineering.
Требования:
- 8+ Years of experience building and operating production ML systems;
- Track record of technical leadership at scale;
- Experience making architectural decisions that remained effective over multiple years and influenced teams beyond the candidate's own team;
- Fluency in Python and Spark;
- Fluency in Go, Kafka, and Kubernetes;
- Hands-on experience with pipelines, model serving, and observability at scale;
- Statistical literacy for designing reliable experiments and evaluating model quality;
- Operational judgment to diagnose system issues, identify root causes, and build debuggable systems under real load;
- Hands-on experience with AI tooling such as Claude Code, Cursor, and Copilot, including daily use of AI agents;
- Product sense and ability to connect technical decisions with business value;
- Strong ownership and bias to ship;
- Nice to have: production experience with recommender systems or large-scale personalization.
Условия:
Compensation is heavily weighted toward equity through Virtual Stock Option (VSO) and Restricted Stock Unit (RSU) plans; Discount on HelloFresh meal kits; Flexible Hybrid work requires a minimum of 2 days in the office per week, with most teams working from the office 2–3 days per week.